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PyData London News January 2023¶

70th Meetup, hosted by MAN Group¶

@PyDataLondon¶

PyData Code of Conduct¶

https://pydata.org/code-of-conduct/¶

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NumFOCUS¶

  • US-based charity in support of open-source scientific computing
  • Financial and admin support for many open-source projects
  • Support for many community events
  • https://numfocus.org
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PyData¶

  • Educational program by NumFOCUS
  • A global community
  • 212 groups world-wide (+12 since May 2022!) 🇳🇿🇳🇿🇳🇿
  • 200,000+ users world-wide (+9000 since May 2022!)
  • https://www.meetup.com/pro/pydata/
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PyData London¶

  • 11,700+ members, ~5%
  • Monthly meetup and annual conference
  • All run by volunteers
  • https://london.pydata.org/
  • Propose a Talk: https://london.pydata.org/submit-a-talk/
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Upcoming Conferences¶

🇺🇸 April 17th - 19th PyCon DE & PyData Berlin 2023¶

🇺🇸 April 26th - 28th PyData Seattle 2023¶

🇺🇸 May 10th - 12th JupyterCon 2023¶

🇺🇸 May 17th - 12th PyCon Lithuania 2023¶

Upcoming Local Meetups & Events¶

🐍 Tue 10th January The London Python Code Dojo has returned. Tonight.¶

🐍 Thu 19th January PyLadies London — From monolith to microservices: What you need to know when making the transfer/switch¶

🐍 Tue 31st January = London Python Meetup Group - How to get a Python software developer job¶

🐍 Tue 7th February = ⭐ PyData London (71th Meetup) ⭐¶

Tonight's Schedule¶

18:30 Doors open¶

19:00 Talks start ⬅️ YOU ARE HERE¶

19:15 Talk #1 + Q&A¶

19:45 Break 🥂¶

20:00 Talk #2 + Q&A¶

20:30 ⚡ Lightning Talks ⚡ + 📣 Community Announcements 📣¶

20:45 to 21:00 We're done 🔜 The Banker 🍻¶

Having fun with Python - why it's the ideal language to originate data for innovative viz and analytics — Ned Stratton¶

When did we stop saying Coronavirus and start saying COVID? How many extra Waitrose branches in Leave areas would reverse the Brexit vote? When was the calmest era in recent UK political discourse? Believe it or not, you can get data and work it to answer these questions for free.

You just need to know how to extract it from the web (screen scrape or from an API) and clean it up a bit. How do you do this? Python!

Transformer Models in Recommendation System — Janu Verma¶

Sequential recommendation aims to predict users' next action based on the sequence of the users' past interactions. Initial works focus on modelling the transition between successive items using Markov chains. Owing to the success of neural networks, recurrent neural networks have been applied to sequential recommendation with significant improvements.

⚡ Lightning Talks ⚡¶

Quantifying Risk in Financial Fraud — Elena Dulskyte¶